Urban zone discovery from smart card-based transit logs

Jae Yoon Jung; Gyunyoung Heo; Kyuhyup Oh

doi:10.1587/transinf.2016OFL0004

Urban zone discovery from smart card-based transit logs

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Smart card payment systems provide a convenient billing mechanism for public transportation providers and passengers. In this paper, a smart card-based transit log is used to reveal functionally related regions in a city, which are called zones. To discover significant zones based on the transit log data, two algorithms, minimum spanning trees and agglomerative hierarchical clustering, are extended by considering the additional factors of geographical distance and adjacency. The hierarchical spatial geocoding system, called Geohash, is adopted to merge nearby bus stops to a region before zone discovery. We identify different urban zones that contain functionally interrelated regions based on passenger trip data stored in the smart card-based transit log by manipulating the level of abstraction and the adjustment parameters.

Original language	English
Pages (from-to)	2465-2469
Number of pages	5
Journal	IEICE Transactions on Information and Systems
Volume	E100D
Issue number	10
DOIs	https://doi.org/10.1587/transinf.2016OFL0004
Publication status	Published - Oct 2017

Bibliographical note

Publisher Copyright:
Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Geohash
Public transportation
Smart card-based transit log
Zone discovery

Access to Document

10.1587/transinf.2016OFL0004

Cite this

@article{f6d7a748b93b4184ac0d31de73a63ef3,

title = "Urban zone discovery from smart card-based transit logs",

abstract = "Smart card payment systems provide a convenient billing mechanism for public transportation providers and passengers. In this paper, a smart card-based transit log is used to reveal functionally related regions in a city, which are called zones. To discover significant zones based on the transit log data, two algorithms, minimum spanning trees and agglomerative hierarchical clustering, are extended by considering the additional factors of geographical distance and adjacency. The hierarchical spatial geocoding system, called Geohash, is adopted to merge nearby bus stops to a region before zone discovery. We identify different urban zones that contain functionally interrelated regions based on passenger trip data stored in the smart card-based transit log by manipulating the level of abstraction and the adjustment parameters.",

keywords = "Geohash, Public transportation, Smart card-based transit log, Zone discovery",

author = "Jung, \{Jae Yoon\} and Gyunyoung Heo and Kyuhyup Oh",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 The Institute of Electronics, Information and Communication Engineers.",

year = "2017",

month = oct,

doi = "10.1587/transinf.2016OFL0004",

language = "English",

volume = "E100D",

pages = "2465--2469",

journal = "IEICE Transactions on Information and Systems",

issn = "0916-8532",

publisher = "Institute of Electronics Information Communication Engineers",

number = "10",

}

TY - JOUR

T1 - Urban zone discovery from smart card-based transit logs

AU - Jung, Jae Yoon

AU - Heo, Gyunyoung

AU - Oh, Kyuhyup

PY - 2017/10

Y1 - 2017/10

N2 - Smart card payment systems provide a convenient billing mechanism for public transportation providers and passengers. In this paper, a smart card-based transit log is used to reveal functionally related regions in a city, which are called zones. To discover significant zones based on the transit log data, two algorithms, minimum spanning trees and agglomerative hierarchical clustering, are extended by considering the additional factors of geographical distance and adjacency. The hierarchical spatial geocoding system, called Geohash, is adopted to merge nearby bus stops to a region before zone discovery. We identify different urban zones that contain functionally interrelated regions based on passenger trip data stored in the smart card-based transit log by manipulating the level of abstraction and the adjustment parameters.

AB - Smart card payment systems provide a convenient billing mechanism for public transportation providers and passengers. In this paper, a smart card-based transit log is used to reveal functionally related regions in a city, which are called zones. To discover significant zones based on the transit log data, two algorithms, minimum spanning trees and agglomerative hierarchical clustering, are extended by considering the additional factors of geographical distance and adjacency. The hierarchical spatial geocoding system, called Geohash, is adopted to merge nearby bus stops to a region before zone discovery. We identify different urban zones that contain functionally interrelated regions based on passenger trip data stored in the smart card-based transit log by manipulating the level of abstraction and the adjustment parameters.

KW - Geohash

KW - Public transportation

KW - Smart card-based transit log

KW - Zone discovery

UR - https://www.scopus.com/pages/publications/85030249289

U2 - 10.1587/transinf.2016OFL0004

DO - 10.1587/transinf.2016OFL0004

M3 - Article

AN - SCOPUS:85030249289

SN - 0916-8532

VL - E100D

SP - 2465

EP - 2469

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 10

ER -

Urban zone discovery from smart card-based transit logs

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this